Graduate Program

Darren Glosemeyer - MS Program Director

The Master of Science (MS) degree in Statistics provides advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis. The program is intended to prepare students for careers as practicing statisticians, to provide enhanced research expertise for students pursuing advanced degrees in other fields, and to strengthen the mathematical and statistical training of students preparing for PhD studies in statistics or a related field. The MS degree requires 32-36 hours (8 or 9 courses) beyond the prerequisites. There is no thesis requirement for this degree

The Master of Science Concentration in Analytics combines the mathematical and statistical training of traditional MS in Statistics with enhanced computational and data analytic training for those planning careers in information intensive industries or research. The program includes fundamental training in mathematical and applied statistics as well as specialized training in data management, analysis, and model building with large datasets and databases. The specialized courses have an emphasis on statistical computing, data management, and statistical learning, which encompasses the more statistical topics that fall under the broader title of data mining. Students are encouraged to gain experience in a business or consulting environment as part of the program.

Xiaofeng Shao - PhD Program Director

The PhD in Statistics prepares students for professional leadership in statistical research, teaching and collaboration as a faculty at colleges and universities and as researchers at government institutions or in the private sector.